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    Presentation of Data and Control Chart Analysis – 9th Edition

    New Edition!

    Luko Stephen
    Published: 2018

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    A valuable reference for anyone responsible for controlling product quality!

    Get this extensively edited new edition of the manual used by generations of quality engineers, material scientists, ASTM practitioners, and others concerned with statistics as a guide to the analysis of many types of data found in industrial quarters.

    It features the latest information on statistical and quality control methods, as well as recommendations for their application in various types of engineering work. Three general objectives in gathering engineering data are addressed:

    – Physical constants and frequency distributions
    – Relationship between two or more variables
    – Causes of observed phenomena

    Part 1 discusses frequency distributions, simple statistical measures, and the concise presentation of the essential information contained in a singles set of n observations. It also includes additional information on the construction of box plots with a clearer definition of terms, as well as new sections on probability plots and transformations.

    Part 2 examines the problem of expressing plus/minus limits of uncertainty for various statistical measures, together with some working rules for rounding-off observed results to an appropriate number of significant figures.

    Part 3 covers the control chart method for the analysis of observational data obtained from a series of samples, and for detecting lack of statistical control of quality.

    Part 4 discusses material on measurement systems analysis, process capability, and process performance. This important section is included to help evaluate the measurement process before any analysis of the process is begun.

    The ninth edition includes new material on parametric, normal distribution-based prediction and tolerance intervals, as well as material on the non-parametric cases. It also contains new information on measurement systems analysis, process capability, and sample size considerations.

    Committee: E11

    DOI: 10.1520/MNL7-9TH-EB

    ISBN-EB: 978-0-8031-7111-4

    ISBN-PRINT: 978-0-8031-7110-7


    MNL 7-9TH